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Large Margin Deep Networks for Classification
v1v2 (latest)

Large Margin Deep Networks for Classification

Neural Information Processing Systems (NeurIPS), 2018
15 March 2018
Gamaleldin F. Elsayed
Dilip Krishnan
H. Mobahi
Kevin Regan
Samy Bengio
    MQ
ArXiv (abs)PDFHTML

Papers citing "Large Margin Deep Networks for Classification"

50 / 167 papers shown
Title
Why neural networks find simple solutions: the many regularizers of
  geometric complexity
Why neural networks find simple solutions: the many regularizers of geometric complexityNeural Information Processing Systems (NeurIPS), 2022
Benoit Dherin
Michael Munn
M. Rosca
David Barrett
288
42
0
27 Sep 2022
Landmark Tracking in Liver US images Using Cascade Convolutional Neural
  Networks with Long Short-Term Memory
Landmark Tracking in Liver US images Using Cascade Convolutional Neural Networks with Long Short-Term MemoryMeasurement science and technology (Meas. Sci. Technol.), 2022
Yupei Zhang
X. Dai
Zhen Tian
Y. Lei
Jacob F. Wynne
P. Patel
Yue Chen
Tian Liu
Xiaofeng Yang
MedIm
98
15
0
14 Sep 2022
Information Maximization for Extreme Pose Face Recognition
Information Maximization for Extreme Pose Face Recognition
Mohammad Saeed Ebrahimi Saadabadi
Sahar Rahimi Malakshan
Sobhan Soleymani
Moktari Mostofa
Nasser M. Nasrabadi
CVBM
104
5
0
07 Sep 2022
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive
  Learning
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive LearningInternational Conference on Learning Representations (ICLR), 2022
Sheng Zhang
Hao Cheng
Jianfeng Gao
Hoifung Poon
231
63
0
30 Aug 2022
Mere Contrastive Learning for Cross-Domain Sentiment Analysis
Mere Contrastive Learning for Cross-Domain Sentiment AnalysisInternational Conference on Computational Linguistics (COLING), 2022
Yun Luo
Fang Guo
Zihan Liu
Yue Zhang
131
18
0
18 Aug 2022
Task Agnostic Representation Consolidation: a Self-supervised based
  Continual Learning Approach
Task Agnostic Representation Consolidation: a Self-supervised based Continual Learning Approach
Prashant Shivaram Bhat
Bahram Zonooz
Elahe Arani
SSLCLL
151
15
0
13 Jul 2022
Learning Towards the Largest Margins
Learning Towards the Largest MarginsInternational Conference on Learning Representations (ICLR), 2022
Xiong Zhou
Xianming Liu
Deming Zhai
Junjun Jiang
Xin Gao
Xiangyang Ji
137
12
0
23 Jun 2022
Semantic-Discriminative Mixup for Generalizable Sensor-based
  Cross-domain Activity Recognition
Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity RecognitionProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2022
Wang Lu
Yongfeng Zhang
Yiqiang Chen
Sinno Jialin Pan
Chunyu Hu
Xin Qin
169
59
0
14 Jun 2022
Neural Collapse: A Review on Modelling Principles and Generalization
Neural Collapse: A Review on Modelling Principles and Generalization
Vignesh Kothapalli
359
101
0
08 Jun 2022
Investigating Generalization by Controlling Normalized Margin
Investigating Generalization by Controlling Normalized MarginInternational Conference on Machine Learning (ICML), 2022
Alexander R. Farhang
Jeremy Bernstein
Kushal Tirumala
Yang Liu
Yisong Yue
189
6
0
08 May 2022
Deep Learning Generalization, Extrapolation, and Over-parameterization
Deep Learning Generalization, Extrapolation, and Over-parameterization
Roozbeh Yousefzadeh
79
1
0
19 Mar 2022
Two-Level Supervised Contrastive Learning for Response Selection in
  Multi-Turn Dialogue
Two-Level Supervised Contrastive Learning for Response Selection in Multi-Turn Dialogue
Wentao Zhang
Shuangyin Xu
Haoran Huang
115
2
0
01 Mar 2022
Improving Generalization via Uncertainty Driven Perturbations
Improving Generalization via Uncertainty Driven Perturbations
Matteo Pagliardini
Gilberto Manunza
Martin Jaggi
Sai Li
Tatjana Chavdarova
AAMLAI4CE
194
4
0
11 Feb 2022
Evaluating natural language processing models with generalization
  metrics that do not need access to any training or testing data
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data
Yaoqing Yang
Ryan Theisen
Liam Hodgkinson
Joseph E. Gonzalez
Kannan Ramchandran
Charles H. Martin
Michael W. Mahoney
310
20
0
06 Feb 2022
Decision boundaries and convex hulls in the feature space that deep
  learning functions learn from images
Decision boundaries and convex hulls in the feature space that deep learning functions learn from images
Roozbeh Yousefzadeh
FAtt
248
5
0
05 Feb 2022
Nearest Class-Center Simplification through Intermediate Layers
Nearest Class-Center Simplification through Intermediate Layers
Ido Ben-Shaul
S. Dekel
235
28
0
21 Jan 2022
Dual Contrastive Learning: Text Classification via Label-Aware Data
  Augmentation
Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation
Qianben Chen
Richong Zhang
Yaowei Zheng
Yongyi Mao
SSL
117
81
0
21 Jan 2022
Hyperplane bounds for neural feature mappings
Hyperplane bounds for neural feature mappings
Antonio Jimeno Yepes
68
2
0
15 Jan 2022
Pretrained Language Models for Text Generation: A Survey
Pretrained Language Models for Text Generation: A SurveyACM Computing Surveys (ACM CSUR), 2022
Junyi Li
Tianyi Tang
Wayne Xin Zhao
J. Nie
Ji-Rong Wen
AI4CE
482
245
0
14 Jan 2022
Margin Calibration for Long-Tailed Visual Recognition
Margin Calibration for Long-Tailed Visual Recognition
Yidong Wang
Bowen Zhang
Wenxin Hou
Zhen Wu
Yongfeng Zhang
T. Shinozaki
MQ
223
32
0
14 Dec 2021
Understanding Square Loss in Training Overparametrized Neural Network
  Classifiers
Understanding Square Loss in Training Overparametrized Neural Network Classifiers
Tianyang Hu
Jun Wang
Wei Cao
Zhenguo Li
UQCVAAML
206
20
0
07 Dec 2021
Extrapolation Frameworks in Cognitive Psychology Suitable for Study of
  Image Classification Models
Extrapolation Frameworks in Cognitive Psychology Suitable for Study of Image Classification Models
Roozbeh Yousefzadeh
J. Mollick
138
6
0
06 Dec 2021
The Geometric Occam's Razor Implicit in Deep Learning
The Geometric Occam's Razor Implicit in Deep Learning
Benoit Dherin
Micheal Munn
David Barrett
189
7
0
30 Nov 2021
Small Changes Make Big Differences: Improving Multi-turn Response
  Selection in Dialogue Systems via Fine-Grained Contrastive Learning
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive LearningInterspeech (Interspeech), 2021
Yuntao Li
Can Xu
Huang Hu
Lei Sha
Yan Zhang
Daxin Jiang
145
12
0
19 Nov 2021
Test time Adaptation through Perturbation Robustness
Test time Adaptation through Perturbation Robustness
Prabhu Teja Sivaprasad
Franccois Fleuret
TTAOOD
116
43
0
19 Oct 2021
Well-classified Examples are Underestimated in Classification with Deep
  Neural Networks
Well-classified Examples are Underestimated in Classification with Deep Neural Networks
Guangxiang Zhao
Wenkai Yang
Xuancheng Ren
Lei Li
Hao Sun
Xu Sun
224
15
0
13 Oct 2021
Pairwise Margin Maximization for Deep Neural Networks
Pairwise Margin Maximization for Deep Neural NetworksInternational Conference on Machine Learning and Applications (ICMLA), 2021
Berry Weinstein
Shai Fine
Y. Hel-Or
88
0
0
09 Oct 2021
Noisy Feature Mixup
Noisy Feature Mixup
Soon Hoe Lim
N. Benjamin Erichson
Francisco Utrera
Winnie Xu
Michael W. Mahoney
AAML
314
39
0
05 Oct 2021
Bridged Adversarial Training
Bridged Adversarial TrainingNeural Networks (NN), 2021
Hoki Kim
Woojin Lee
Sungyoon Lee
Jaewook Lee
AAMLGAN
115
10
0
25 Aug 2021
OODformer: Out-Of-Distribution Detection Transformer
OODformer: Out-Of-Distribution Detection TransformerBritish Machine Vision Conference (BMVC), 2021
Rajat Koner
Poulami Sinhamahapatra
Karsten Roscher
Stephan Günnemann
Volker Tresp
ViT
100
41
0
19 Jul 2021
Contrast R-CNN for Continual Learning in Object Detection
Contrast R-CNN for Continual Learning in Object Detection
Kai Zheng
Cen Chen
CLLObjD
127
2
0
11 Jul 2021
Identifying Layers Susceptible to Adversarial Attacks
Identifying Layers Susceptible to Adversarial Attacks
Shoaib Ahmed Siddiqui
Thomas Breuel
AAML
172
3
0
10 Jul 2021
Semi-TCL: Semi-Supervised Track Contrastive Representation Learning
Semi-TCL: Semi-Supervised Track Contrastive Representation Learning
Wei Li
Yuanjun Xiong
Shuo Yang
Mingze Xu
Yongxin Wang
Wei Xia
158
53
0
06 Jul 2021
Self-Contrastive Learning: Single-viewed Supervised Contrastive
  Framework using Sub-network
Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-networkAAAI Conference on Artificial Intelligence (AAAI), 2021
Sangmin Bae
Sungnyun Kim
Jongwoo Ko
Gihun Lee
SeungJong Noh
Se-Young Yun
SSL
412
9
0
29 Jun 2021
Attack Transferability Characterization for Adversarially Robust
  Multi-label Classification
Attack Transferability Characterization for Adversarially Robust Multi-label Classification
Zhuo Yang
Yufei Han
Xiangliang Zhang
AAML
140
5
0
29 Jun 2021
Can I Be of Further Assistance? Using Unstructured Knowledge Access to
  Improve Task-oriented Conversational Modeling
Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling
Di Jin
Seokhwan Kim
Dilek Z. Hakkani-Tür
107
14
0
16 Jun 2021
Measuring Generalization with Optimal Transport
Measuring Generalization with Optimal TransportNeural Information Processing Systems (NeurIPS), 2021
Ching-Yao Chuang
Youssef Mroueh
Kristjan Greenewald
Antonio Torralba
Stefanie Jegelka
OT
128
30
0
07 Jun 2021
Less is more: Selecting informative and diverse subsets with balancing
  constraints
Less is more: Selecting informative and diverse subsets with balancing constraints
Srikumar Ramalingam
Daniel Glasner
Kaushal Patel
R. Vemulapalli
Sadeep Jayasumana
Sanjiv Kumar
140
6
0
26 Apr 2021
Direction-Aggregated Attack for Transferable Adversarial Examples
Direction-Aggregated Attack for Transferable Adversarial ExamplesACM Journal on Emerging Technologies in Computing Systems (JETC), 2021
Tianjin Huang
Vlado Menkovski
Yulong Pei
Yuhao Wang
Mykola Pechenizkiy
AAML
120
16
0
19 Apr 2021
Estimating the Generalization in Deep Neural Networks via Sparsity
Estimating the Generalization in Deep Neural Networks via Sparsity
Yang Zhao
Hao Zhang
179
2
0
02 Apr 2021
Recent Advances in Large Margin Learning
Recent Advances in Large Margin LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yiwen Guo
Changshui Zhang
AAMLAI4CE
260
18
0
25 Mar 2021
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
FSCE: Few-Shot Object Detection via Contrastive Proposal EncodingComputer Vision and Pattern Recognition (CVPR), 2021
Bo Sun
Banghuai Li
Shengcai Cai
Ye Yuan
Fangqiu Yi
272
477
0
10 Mar 2021
SoundCLR: Contrastive Learning of Representations For Improved
  Environmental Sound Classification
SoundCLR: Contrastive Learning of Representations For Improved Environmental Sound Classification
Alireza Nasiri
Jianjun Hu
115
21
0
02 Mar 2021
Federated Learning without Revealing the Decision Boundaries
Federated Learning without Revealing the Decision Boundaries
Roozbeh Yousefzadeh
FedML
78
0
0
01 Mar 2021
Sparsity in long-time control of neural ODEs
Sparsity in long-time control of neural ODEs
C. Yagüe
Borjan Geshkovski
227
9
0
26 Feb 2021
Consistent Non-Parametric Methods for Maximizing Robustness
Consistent Non-Parametric Methods for Maximizing RobustnessNeural Information Processing Systems (NeurIPS), 2021
Robi Bhattacharjee
Kamalika Chaudhuri
AAML
207
8
0
18 Feb 2021
Bridging the Gap Between Adversarial Robustness and Optimization Bias
Bridging the Gap Between Adversarial Robustness and Optimization Bias
Fartash Faghri
Sven Gowal
C. N. Vasconcelos
David J. Fleet
Fabian Pedregosa
Nicolas Le Roux
AAML
371
8
0
17 Feb 2021
Deep Learning Generalization and the Convex Hull of Training Sets
Deep Learning Generalization and the Convex Hull of Training Sets
Roozbeh Yousefzadeh
128
20
0
25 Jan 2021
A Comprehensive Evaluation Framework for Deep Model Robustness
A Comprehensive Evaluation Framework for Deep Model RobustnessPattern Recognition (Pattern Recogn.), 2021
Jun Guo
Wei Bao
Jinyang Guo
Yuqing Ma
Xing Gao
Gang Xiao
Aishan Liu
Zehao Zhao
Xianglong Liu
Wenjun Wu
AAMLELM
166
80
0
24 Jan 2021
Label Contrastive Coding based Graph Neural Network for Graph
  Classification
Label Contrastive Coding based Graph Neural Network for Graph ClassificationInternational Conference on Database Systems for Advanced Applications (DASFAA), 2021
Yuxiang Ren
Jiyang Bai
Jiawei Zhang
121
30
0
14 Jan 2021
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